On Signal Detection Techniques of Adaptive Stochastic Resonance Based on PSO

This paper introduced the basic principle and mathematical model of stochastic resonance(SR). For the deficiency of the traditional adaptive SR is that only a single parameter can be optimized while the other parameters in the system being fixed. This paper presents a new adaptive SR, It based on PSO, which realizes multi-parameter synchronous optimization. This method reserve the synergistic effect between one structure parameter and another. It determine the signal-noise-ratio of the output of the system as the fitness function of genetic algorithm and it can quikly select the adaptive multi-parameters in SR system. As a result, weak periodical components in orignal signals are sufficiently detected. The experimental result shows that this method has some advantages, such as simple algorithms, good rapidity high accuracy and fine applicability.